All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

I see Ballerina as a general-purpose programming language, whose approach to data makes it a great fit for building information systems.

The University of Delaware's master of science degree in data science will enable you to know what's inside the black box of software that analyzes the data and then use that knowledge to improve your ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

Datavzrd makes complex datasets interactive and easy to use. It works across scientific fields without programming knowledge.

Data-acquisition drivers have grown from a simple code library for accessing registers into powerful, high-level programming interfaces. These drivers are further abstracting the hardware-specific ...

DataForge, a leading data integration provider, has open-sourced a new framework for developing and managing data transformation code.

What are some examples of how quantitative and qualitative data points have been used successfully to support instructional decision-making to promote equity and help all students succeed?

You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...

The 4-day training program aims to provide senior military leaders with the tools they need to harness data effectively to make timely, informed decisions on the battlefield.